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胎儿孤立性胼胝体发育不全的基因检测。

Genetic testing in fetuses with isolated agenesis of the corpus callosum.

机构信息

Zhujiang Hospital, Southern Medical University, Guangzhou, China.

Prenatal Diagnostic Center, Guangzhou Women and Children's Medical Center, Guangzhou, China.

出版信息

J Matern Fetal Neonatal Med. 2021 Jul;34(14):2227-2234. doi: 10.1080/14767058.2019.1660769. Epub 2019 Sep 5.

Abstract

PURPOSE

The objectives of this study were to explore genetics pathogenesis of isolated agenesis of corpus callosum (ACC) and assess the utility of chromosomal microarray analysis (CMA) for genetic diagnosis of isolated ACC.

METHODS

We analyzed the genomes of 16 fetuses with isolated ACC using Afymetrix CytoScan HD arrays and conducted further bioinformatic analysis for one proband fetus with an abnormal copy number variation (CNV).

RESULTS

Of the 16 fetal samples examined, two (12.5%) had pathogenic CNVs and three (18.75%) had variants of unknown significance. Two cases, case 2 and case 9, were found to have pathogenic CNVs. Bioinformatic analyses indicated that the CNV of one fetus (case 9) contained 115 annotated coding genes, five of which (, , , , and ) have been associated with neurodevelopment. Three of these genes (, , and ) may play a key role in ACC development. GO cluster analysis of the implicated genes revealed strong representations of protein binding and metal ion binding functions. KEGG pathway analysis pointed to four pathways: longevity regulating pathway, amyotrophic lateral sclerosis, cocaine addiction, and autophagy-animal.

CONCLUSIONS

BDNF, SLC1A2, and may be involved in the development of isolated ACC. CMA is a feasible technology for prenatal diagnosis of isolated ACC.

摘要

目的

本研究旨在探讨孤立性胼胝体发育不全(ACC)的遗传学发病机制,并评估染色体微阵列分析(CMA)在孤立性 ACC 遗传诊断中的应用价值。

方法

我们使用 Affymetrix CytoScan HD 阵列分析了 16 例孤立性 ACC 胎儿的基因组,并对 1 例具有异常拷贝数变异(CNV)的先证胎儿进行了进一步的生物信息学分析。

结果

在 16 个受检胎儿样本中,有 2 例(12.5%)存在致病性 CNV,3 例(18.75%)存在意义不明的变异。2 例(病例 2 和病例 9)被发现存在致病性 CNV。生物信息学分析表明,一例胎儿(病例 9)的 CNV 包含 115 个注释编码基因,其中 5 个(、、、、和)与神经发育有关。这 5 个基因中的 3 个(、和)可能在 ACC 发育中起关键作用。涉及基因的 GO 聚类分析显示,蛋白结合和金属离子结合功能的代表性很强。KEGG 通路分析指向 4 条通路:长寿调控通路、肌萎缩侧索硬化症、可卡因成瘾和自噬-动物。

结论

BDNF、SLC1A2 和 可能参与了孤立性 ACC 的发生。CMA 是产前诊断孤立性 ACC 的一种可行技术。

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